3 papers
cs.AI2026
TRACE: Business Rule-Grounded Reasoning Curriculum for Knowledge-Preserving Parametric Tool Retrieval in Enterprise LLMs
Sai Shruthi Sistla, Ashutosh Hathidara, Christopher Toukmaji +2
Parametric retrieval enables LLMs to retrieve tools implicitly by assigning each API a unique virtual token and training the model to generate it via constrained beam search. Tools…
cs.CL2025
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages
Christopher Toukmaji, Jeffrey Flanigan
LLMs are typically trained in high-resource languages, and tasks in lower-resourced languages tend to underperform the higher-resource language counterparts for in-context learning…
cs.CL2024
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
Christopher Toukmaji
Large pre-trained language models (PLMs) are at the forefront of advances in Natural Language Processing. One widespread use case of PLMs is "prompting" - or in-context learning -…